code: def test_example_restore(self):
      class MLP(eg.Module):
          @eg.compact
          def __call__(self, x):
              x = eg.Linear(10)(x)
              x = jax.lax.stop_gradient(x)
              return x
  
      # This callback will stop the training when there is no improvement in
      # the for three consecutive epochs.
      model = eg.Model(
          module=MLP(),
          loss=eg.losses.MeanSquaredError(),
          optimizer=optax.rmsprop(0.01),
      )
      history = model.fit(
          inputs=np.ones((5, 20)),
          labels=np.zeros((5, 10)),
          epochs=10,
          batch_size=1,
          callbacks=[
              eg.callbacks.EarlyStopping(
                  monitor="loss", patience=3, restore_best_weights=True
              )
          ],
          verbose=0,
      )
      assert len(history.history["loss"]) == 4
  
file_path: elegy/tests/callbacks/early_stopping_test.py
imports: from unittest import TestCase
  import jax
  import numpy
  import optax
  import pytest
  import elegy
label_desc: Use image node_id 2 for calling the EarlyStoppingTest obj's underlying member method code with example usage: obj.test_example_restore() and returns: x